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Micron Technology

DATA SCIENTIST

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeFull-time2 days ago
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About the role

AI summarised

Data Scientist at Micron, a semiconductor memory and storage solutions company. The role focuses on applying data science, statistical modeling, and machine learning to optimize yield and improve process variation in advanced semiconductor manufacturing. The data scientist will collaborate with process integration and engineering teams, analyze large datasets from multiple sources, and develop automated reports and dashboards.

IDMFull-timeSmart MFG/AI

Key Responsibilities

  • Yield & Process Optimization: Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data to identify top yield detractors and drive continuous improvement.
  • Data Pipeline & Automation: Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operations.
  • Advanced Analytics & Modeling: Apply data science techniques, statistical modeling, and machine learning to troubleshoot yield issues and support defect reduction strategies.
  • Experimentation Support: Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins.
  • Visualization & Communication: Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, Angular) to communicate technical concepts and project outcomes effectively to engineering stakeholders.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Statistics, AI, or a related Engineering field.
  • At least 2 years of hands-on experience in data science, analytics, or scripting applications.
  • Willingness to learn semiconductor manufacturing principles and collaborate closely with equipment and integration engineers to resolve production issues.
  • Strong Python programming skills and working experience with SQL for data extraction and manipulation.
  • Familiarity with statistical tools, methodologies (such as SPC, DOE, or FDC/EDA), and data-driven problem solving.
  • At least 2 year of working experience utilizing data visualization tools (e.g., Dash, Plotly, Angular) to present complex engineering data clearly.
  • Prior experience or internship in the semiconductor industry, electronics manufacturing, or related fields.
  • Basic understanding of semiconductor fabrication processes, equipment, and device physics (e.g., CMOS basic knowledge).
  • Familiarity with advanced analytics or AI-driven analysis for manufacturing and yield applications.
  • Knowledge of memory architecture (DRAM/NAND).
  • Effective communicator and collaborator, capable of bridging the gap between data science and traditional semiconductor engineering teams.
  • Analytical and problem-solving mindset with a demonstrated commitment to quality and continuous improvement in a fast-paced environment.
  • Proven ability to work independently, manage multiple priorities, and deliver high-quality results.